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- W2463340218 abstract "This chapter employs the classification and regression tree (CRT) predictive modeling technique. It represents the rules for separating the data into significant groups based on the three cluster groups established from cluster analyses in the previous section. Moreover, these results verify that the samples are classified into their own cluster groups with high accuracy. It also suggests that the accuracy of classification is excellent in all four sample groups, with more than 80% accuracy for age 7 to 12 and above 90% for age 13 to 17. Hence, this confirms that the sample groups are classified correctly into cluster groups using k-means technique, the same dependent and independent variables are used to classify the cluster groups. The dependent variables are the cluster groups for each individual sample group. The independent variables are the primary control variables (key dimensions) of each sample group specific to either upper body or lower body." @default.
- W2463340218 created "2016-07-22" @default.
- W2463340218 creator A5074826444 @default.
- W2463340218 date "2016-01-01" @default.
- W2463340218 modified "2023-09-28" @default.
- W2463340218 title "Classifying the body shapes of children and teenagers for improved apparel fit" @default.
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- W2463340218 doi "https://doi.org/10.1016/b978-0-08-100226-1.00007-2" @default.
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